Using Supervised Fine-Tuning to Teach Qwen3 the Secrets No Other Model Knows.
Fine-tune Qwen3 with SFT – Customize Your Language Model Easily!
In this video, you’ll learn how to fine-tune the latest Qwen3 model using Supervised Fine-Tuning (SFT):
Prepare Training Data: Upload and manage datasets containing instruction-response pairs
Configure Training Parameters: Set key hyperparameters like learning rate and training steps
Launch Fine-tuning: Start training based on the Qwen3 base model
Generate Test Samples: Use a chat interface for real-time model testing
Save & Deploy: One-click saving of trained models and deployment to inference environments
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